LLM-Telugu-English

This model is a fine-tuned version of unsloth/tinyllama-chat-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 10.0811

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0003
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
16.0382	0.0133	2	10.0968
16.0284	0.0267	4	10.0968
16.0373	0.04	6	10.0968
16.0279	0.0533	8	10.0968
16.0206	0.0667	10	10.0968
15.8569	0.08	12	10.0968
16.0955	0.0933	14	10.0968
16.0921	0.1067	16	10.0967
9.7518	0.12	18	10.0965
8.5846	0.1333	20	10.0964
9.9323	0.1467	22	10.0963
10.0995	0.16	24	10.0963
7.275	0.1733	26	10.0963
5.8267	0.1867	28	10.0963
5.4372	0.2	30	10.0963
5.1436	0.2133	32	10.0964
4.9079	0.2267	34	10.0965
4.852	0.24	36	10.0964
4.7545	0.2533	38	10.0964
4.7705	0.2667	40	10.0964
4.7477	0.28	42	10.0964
4.6624	0.2933	44	10.0964
4.6747	0.3067	46	10.0963
4.6626	0.32	48	10.0962
4.6596	0.3333	50	10.0961
4.6007	0.3467	52	10.0959
4.6465	0.36	54	10.0955
4.6612	0.3733	56	10.0951
4.6591	0.3867	58	10.0947
4.6709	0.4	60	10.0945
4.6325	0.4133	62	10.0944
4.6216	0.4267	64	10.0943
4.5949	0.44	66	10.0941
4.5693	0.4533	68	10.0938
4.6398	0.4667	70	10.0936
4.6496	0.48	72	10.0933
4.6572	0.4933	74	10.0931
4.6251	0.5067	76	10.0928
4.6022	0.52	78	10.0926
4.617	0.5333	80	10.0924
4.5698	0.5467	82	10.0924
4.6706	0.56	84	10.0923
4.6294	0.5733	86	10.0922
4.6366	0.5867	88	10.0921
4.6353	0.6	90	10.0919
4.61	0.6133	92	10.0918
4.574	0.6267	94	10.0918
4.5832	0.64	96	10.0917
4.5756	0.6533	98	10.0916
4.5985	0.6667	100	10.0915
4.6782	0.68	102	10.0913
4.6178	0.6933	104	10.0911
4.6278	0.7067	106	10.0910
4.6471	0.72	108	10.0909
4.6134	0.7333	110	10.0909
4.6147	0.7467	112	10.0909
4.5884	0.76	114	10.0909
4.5797	0.7733	116	10.0910
4.6307	0.7867	118	10.0908
4.6118	0.8	120	10.0908
4.6009	0.8133	122	10.0907
4.6183	0.8267	124	10.0908
4.6316	0.84	126	10.0908
4.6051	0.8533	128	10.0909
4.5876	0.8667	130	10.0909
4.6124	0.88	132	10.0909
4.6158	0.8933	134	10.0908
4.6301	0.9067	136	10.0908
4.6291	0.92	138	10.0907
4.5405	0.9333	140	10.0907
4.6629	0.9467	142	10.0907
4.6154	0.96	144	10.0906
4.5877	0.9733	146	10.0904
4.5802	0.9867	148	10.0901
4.628	1.0	150	10.0898
4.6293	1.0133	152	10.0896
4.5853	1.0267	154	10.0894
4.601	1.04	156	10.0893
4.5251	1.0533	158	10.0892
4.623	1.0667	160	10.0892
4.6481	1.08	162	10.0891
4.5933	1.0933	164	10.0891
4.6093	1.1067	166	10.0891
4.586	1.12	168	10.0891
4.616	1.1333	170	10.0891
4.6209	1.1467	172	10.0891
4.6073	1.16	174	10.0892
4.5257	1.1733	176	10.0892
4.6031	1.1867	178	10.0892
4.6551	1.2	180	10.0890
4.6294	1.2133	182	10.0889
4.5684	1.2267	184	10.0888
4.6752	1.24	186	10.0887
4.5883	1.2533	188	10.0886
4.5744	1.2667	190	10.0886
4.6373	1.28	192	10.0887
4.5754	1.2933	194	10.0887
4.5843	1.3067	196	10.0887
4.6066	1.32	198	10.0887
4.566	1.3333	200	10.0887
4.6126	1.3467	202	10.0888
4.5597	1.3600	204	10.0888
4.5923	1.3733	206	10.0888
4.564	1.3867	208	10.0888
4.5965	1.4	210	10.0887
4.6134	1.4133	212	10.0887
4.5569	1.4267	214	10.0888
4.513	1.44	216	10.0890
4.6599	1.4533	218	10.0891
4.617	1.4667	220	10.0892
4.5619	1.48	222	10.0893
4.5798	1.4933	224	10.0893
4.5828	1.5067	226	10.0892
4.6234	1.52	228	10.0891
4.5794	1.5333	230	10.0889
4.598	1.5467	232	10.0887
4.6553	1.56	234	10.0886
4.5315	1.5733	236	10.0886
4.5766	1.5867	238	10.0885
4.5981	1.6	240	10.0885
4.5947	1.6133	242	10.0884
4.6436	1.6267	244	10.0884
4.6416	1.6400	246	10.0884
4.5788	1.6533	248	10.0883
4.5701	1.6667	250	10.0882
4.5803	1.6800	252	10.0882
4.5786	1.6933	254	10.0881
4.6132	1.7067	256	10.0880
4.5837	1.72	258	10.0880
4.5783	1.7333	260	10.0879
4.5911	1.7467	262	10.0879
4.6083	1.76	264	10.0880
4.5641	1.7733	266	10.0881
4.5856	1.7867	268	10.0881
4.6078	1.8	270	10.0882
4.5068	1.8133	272	10.0884
4.6371	1.8267	274	10.0885
4.6445	1.8400	276	10.0886
4.5809	1.8533	278	10.0888
4.5581	1.8667	280	10.0890
4.5765	1.88	282	10.0891
4.6221	1.8933	284	10.0890
4.5864	1.9067	286	10.0890
4.5659	1.92	288	10.0890
4.6169	1.9333	290	10.0890
4.53	1.9467	292	10.0890
4.5928	1.96	294	10.0889
4.6003	1.9733	296	10.0888
4.6011	1.9867	298	10.0887
4.5634	2.0	300	10.0887
4.5507	2.0133	302	10.0885
4.5613	2.0267	304	10.0885
4.4758	2.04	306	10.0884
4.6313	2.0533	308	10.0884
4.5264	2.0667	310	10.0883
4.6134	2.08	312	10.0882
4.5417	2.0933	314	10.0882
4.6234	2.1067	316	10.0881
4.6044	2.12	318	10.0881
4.5402	2.1333	320	10.0882
4.6112	2.1467	322	10.0882
4.6124	2.16	324	10.0882
4.5199	2.1733	326	10.0881
4.6194	2.1867	328	10.0881
4.5702	2.2	330	10.0882
4.5808	2.2133	332	10.0882
4.6048	2.2267	334	10.0882
4.5472	2.24	336	10.0881
4.4738	2.2533	338	10.0882
4.5582	2.2667	340	10.0883
4.525	2.2800	342	10.0883
4.4719	2.2933	344	10.0883
4.5771	2.3067	346	10.0882
4.6026	2.32	348	10.0881
4.4366	2.3333	350	10.0880
4.579	2.3467	352	10.0879
4.5939	2.36	354	10.0880
4.5725	2.3733	356	10.0880
4.5344	2.3867	358	10.0881
4.5393	2.4	360	10.0882
4.6091	2.4133	362	10.0883
4.5124	2.4267	364	10.0883
4.64	2.44	366	10.0884
4.5627	2.4533	368	10.0885
4.5855	2.4667	370	10.0886
4.5735	2.48	372	10.0886
4.6217	2.4933	374	10.0886
4.594	2.5067	376	10.0886
4.6012	2.52	378	10.0886
4.5389	2.5333	380	10.0886
4.516	2.5467	382	10.0886
4.5175	2.56	384	10.0886
4.5726	2.5733	386	10.0886
4.6047	2.5867	388	10.0886
4.6072	2.6	390	10.0886
4.6195	2.6133	392	10.0885
4.6355	2.6267	394	10.0884
4.5855	2.64	396	10.0883
4.5953	2.6533	398	10.0882
4.5764	2.6667	400	10.0882
4.6618	2.68	402	10.0881
4.5221	2.6933	404	10.0881
4.5367	2.7067	406	10.0880
4.6149	2.7200	408	10.0878
4.5667	2.7333	410	10.0877
4.602	2.7467	412	10.0876
4.6179	2.76	414	10.0874
4.5552	2.7733	416	10.0874
4.5744	2.7867	418	10.0874
4.5643	2.8	420	10.0874
4.6064	2.8133	422	10.0874
4.5532	2.8267	424	10.0874
4.5941	2.84	426	10.0874
4.5489	2.8533	428	10.0874
4.5716	2.8667	430	10.0873
4.6087	2.88	432	10.0871
4.5906	2.8933	434	10.0870
4.5165	2.9067	436	10.0869
4.5758	2.92	438	10.0869
4.5863	2.9333	440	10.0870
4.5932	2.9467	442	10.0871
4.6165	2.96	444	10.0872
4.5882	2.9733	446	10.0872
4.5648	2.9867	448	10.0872
4.5237	3.0	450	10.0873
4.5929	3.0133	452	10.0872
4.5917	3.0267	454	10.0872
4.6049	3.04	456	10.0870
4.525	3.0533	458	10.0870
4.6031	3.0667	460	10.0869
4.5275	3.08	462	10.0867
4.5251	3.0933	464	10.0867
4.4163	3.1067	466	10.0867
4.5475	3.12	468	10.0867
4.5337	3.1333	470	10.0866
4.5883	3.1467	472	10.0865
4.604	3.16	474	10.0863
4.4893	3.1733	476	10.0862
4.5336	3.1867	478	10.0862
4.4472	3.2	480	10.0862
4.562	3.2133	482	10.0862
4.5691	3.2267	484	10.0863
4.5068	3.24	486	10.0864
4.6052	3.2533	488	10.0865
4.5781	3.2667	490	10.0866
4.5791	3.2800	492	10.0867
4.5613	3.2933	494	10.0868
4.5142	3.3067	496	10.0868
4.5974	3.32	498	10.0869
4.5507	3.3333	500	10.0870
4.5754	3.3467	502	10.0871
4.5675	3.36	504	10.0872
4.6126	3.3733	506	10.0872
4.5748	3.3867	508	10.0870
4.5648	3.4	510	10.0869
4.6053	3.4133	512	10.0868
4.5608	3.4267	514	10.0868
4.5124	3.44	516	10.0867
4.4979	3.4533	518	10.0866
4.531	3.4667	520	10.0864
4.6	3.48	522	10.0863
4.5547	3.4933	524	10.0862
4.5892	3.5067	526	10.0861
4.4961	3.52	528	10.0860
4.5425	3.5333	530	10.0859
4.5525	3.5467	532	10.0859
4.4992	3.56	534	10.0859
4.5792	3.5733	536	10.0857
4.5242	3.5867	538	10.0855
4.5448	3.6	540	10.0853
4.596	3.6133	542	10.0850
4.5658	3.6267	544	10.0849
4.5226	3.64	546	10.0847
4.6567	3.6533	548	10.0845
4.516	3.6667	550	10.0844
4.6016	3.68	552	10.0844
4.5729	3.6933	554	10.0843
4.5309	3.7067	556	10.0844
4.522	3.7200	558	10.0845
4.559	3.7333	560	10.0847
4.5039	3.7467	562	10.0850
4.5567	3.76	564	10.0853
4.5233	3.7733	566	10.0855
4.4932	3.7867	568	10.0856
4.4892	3.8	570	10.0856
4.554	3.8133	572	10.0856
4.5995	3.8267	574	10.0853
4.575	3.84	576	10.0851
4.5985	3.8533	578	10.0848
4.6092	3.8667	580	10.0846
4.6077	3.88	582	10.0844
4.5508	3.8933	584	10.0843
4.5553	3.9067	586	10.0842
4.6301	3.92	588	10.0841
4.5424	3.9333	590	10.0840
4.5698	3.9467	592	10.0840
4.5653	3.96	594	10.0841
4.5335	3.9733	596	10.0841
4.5705	3.9867	598	10.0840
4.5201	4.0	600	10.0840
4.5665	4.0133	602	10.0840
4.5797	4.0267	604	10.0840
4.5339	4.04	606	10.0840
4.5259	4.0533	608	10.0841
4.6085	4.0667	610	10.0841
4.5937	4.08	612	10.0840
4.41	4.0933	614	10.0839
4.5135	4.1067	616	10.0838
4.5568	4.12	618	10.0838
4.5801	4.1333	620	10.0838
4.4547	4.1467	622	10.0838
4.5839	4.16	624	10.0838
4.5197	4.1733	626	10.0839
4.4818	4.1867	628	10.0838
4.5705	4.2	630	10.0838
4.4112	4.2133	632	10.0838
4.5893	4.2267	634	10.0838
4.5387	4.24	636	10.0837
4.5602	4.2533	638	10.0837
4.5647	4.2667	640	10.0837
4.4941	4.28	642	10.0837
4.532	4.2933	644	10.0837
4.5477	4.3067	646	10.0836
4.5651	4.32	648	10.0835
4.4803	4.3333	650	10.0835
4.3447	4.3467	652	10.0833
4.5321	4.36	654	10.0832
4.579	4.3733	656	10.0832
4.5805	4.3867	658	10.0832
4.6436	4.4	660	10.0832
4.5647	4.4133	662	10.0833
4.5581	4.4267	664	10.0834
4.6162	4.44	666	10.0835
4.5351	4.4533	668	10.0836
4.5111	4.4667	670	10.0837
4.5522	4.48	672	10.0838
4.4538	4.4933	674	10.0838
4.5385	4.5067	676	10.0837
4.5824	4.52	678	10.0837
4.5651	4.5333	680	10.0836
4.6097	4.5467	682	10.0835
4.5868	4.5600	684	10.0835
4.4651	4.5733	686	10.0834
4.577	4.5867	688	10.0833
4.582	4.6	690	10.0833
4.4836	4.6133	692	10.0832
4.5592	4.6267	694	10.0831
4.2845	4.64	696	10.0831
4.4483	4.6533	698	10.0831
4.4794	4.6667	700	10.0831
4.5373	4.68	702	10.0832
4.4577	4.6933	704	10.0833
4.5491	4.7067	706	10.0834
4.5306	4.72	708	10.0835
4.4774	4.7333	710	10.0835
4.5408	4.7467	712	10.0834
4.5074	4.76	714	10.0834
4.5761	4.7733	716	10.0835
4.5716	4.7867	718	10.0835
4.5962	4.8	720	10.0835
4.5512	4.8133	722	10.0836
4.5461	4.8267	724	10.0836
4.5095	4.84	726	10.0837
4.5244	4.8533	728	10.0837
4.5628	4.8667	730	10.0837
4.5707	4.88	732	10.0836
4.6426	4.8933	734	10.0836
4.5901	4.9067	736	10.0834
4.5143	4.92	738	10.0833
4.5419	4.9333	740	10.0832
4.5359	4.9467	742	10.0831
4.5672	4.96	744	10.0830
4.5234	4.9733	746	10.0831
4.5359	4.9867	748	10.0831
4.4814	5.0	750	10.0832
4.5405	5.0133	752	10.0833
4.5361	5.0267	754	10.0833
4.54	5.04	756	10.0834
4.4954	5.0533	758	10.0833
4.501	5.0667	760	10.0833
4.5501	5.08	762	10.0833
4.4114	5.0933	764	10.0833
4.6391	5.1067	766	10.0833
4.5089	5.12	768	10.0833
4.5715	5.1333	770	10.0833
4.5439	5.1467	772	10.0834
4.5465	5.16	774	10.0836
4.4583	5.1733	776	10.0837
4.5132	5.1867	778	10.0838
4.5779	5.2	780	10.0839
4.4824	5.2133	782	10.0840
4.5093	5.2267	784	10.0841
4.5195	5.24	786	10.0842
4.5647	5.2533	788	10.0842
4.5503	5.2667	790	10.0843
4.5384	5.28	792	10.0843
4.5286	5.2933	794	10.0844
4.555	5.3067	796	10.0844
4.5181	5.32	798	10.0845
4.4931	5.3333	800	10.0844
4.6149	5.3467	802	10.0844
4.5127	5.36	804	10.0844
4.4422	5.3733	806	10.0844
4.5678	5.3867	808	10.0843
4.5638	5.4	810	10.0843
4.5562	5.4133	812	10.0843
4.5514	5.4267	814	10.0843
4.6194	5.44	816	10.0843
4.5126	5.4533	818	10.0843
4.5638	5.4667	820	10.0843
4.5457	5.48	822	10.0843
4.5069	5.4933	824	10.0843
4.5392	5.5067	826	10.0843
4.5215	5.52	828	10.0842
4.5852	5.5333	830	10.0842
4.5284	5.5467	832	10.0842
4.5202	5.5600	834	10.0842
4.4908	5.5733	836	10.0842
4.5339	5.5867	838	10.0842
4.5589	5.6	840	10.0842
4.571	5.6133	842	10.0842
4.5164	5.6267	844	10.0842
4.4746	5.64	846	10.0842
4.5247	5.6533	848	10.0842
4.5632	5.6667	850	10.0842
4.4582	5.68	852	10.0843
4.5055	5.6933	854	10.0842
4.5637	5.7067	856	10.0843
4.5915	5.72	858	10.0843
4.5423	5.7333	860	10.0843
4.4493	5.7467	862	10.0842
4.4397	5.76	864	10.0842
4.5316	5.7733	866	10.0842
4.4764	5.7867	868	10.0843
4.5047	5.8	870	10.0843
4.418	5.8133	872	10.0844
4.4483	5.8267	874	10.0843
4.3434	5.84	876	10.0843
4.5338	5.8533	878	10.0842
4.4638	5.8667	880	10.0841
4.4347	5.88	882	10.0841
4.5513	5.8933	884	10.0840
4.5146	5.9067	886	10.0840
4.5313	5.92	888	10.0840
4.3903	5.9333	890	10.0839
4.506	5.9467	892	10.0839
4.5061	5.96	894	10.0838
4.5077	5.9733	896	10.0837
4.5579	5.9867	898	10.0836
4.5499	6.0	900	10.0836
4.6132	6.0133	902	10.0835
4.5265	6.0267	904	10.0834
4.5288	6.04	906	10.0834
4.5204	6.0533	908	10.0834
4.4766	6.0667	910	10.0833
4.4845	6.08	912	10.0833
4.4996	6.0933	914	10.0832
4.4882	6.1067	916	10.0832
4.4789	6.12	918	10.0831
4.4914	6.1333	920	10.0831
4.4657	6.1467	922	10.0829
4.4977	6.16	924	10.0828
4.5977	6.1733	926	10.0828
4.5537	6.1867	928	10.0828
4.4485	6.2	930	10.0828
4.5043	6.2133	932	10.0828
4.529	6.2267	934	10.0828
4.4851	6.24	936	10.0827
4.5978	6.2533	938	10.0826
4.5376	6.2667	940	10.0826
4.4748	6.28	942	10.0826
4.5317	6.2933	944	10.0826
4.5192	6.3067	946	10.0826
4.5374	6.32	948	10.0827
4.4732	6.3333	950	10.0827
4.4496	6.3467	952	10.0828
4.5118	6.36	954	10.0828
4.4722	6.3733	956	10.0828
4.5443	6.3867	958	10.0828
4.407	6.4	960	10.0828
4.5284	6.4133	962	10.0827
4.4682	6.4267	964	10.0827
4.5642	6.44	966	10.0827
4.5256	6.4533	968	10.0827
4.5182	6.4667	970	10.0827
4.5824	6.48	972	10.0826
4.542	6.4933	974	10.0825
4.3906	6.5067	976	10.0824
4.6096	6.52	978	10.0824
4.6145	6.5333	980	10.0823
4.5128	6.5467	982	10.0823
4.5066	6.5600	984	10.0823
4.5442	6.5733	986	10.0823
4.5083	6.5867	988	10.0823
4.4607	6.6	990	10.0823
4.4718	6.6133	992	10.0823
4.4227	6.6267	994	10.0823
4.5171	6.64	996	10.0823
4.5532	6.6533	998	10.0822
4.4576	6.6667	1000	10.0822
4.4971	6.68	1002	10.0821
4.4647	6.6933	1004	10.0819
4.4646	6.7067	1006	10.0819
4.5331	6.72	1008	10.0818
4.45	6.7333	1010	10.0818
4.4731	6.7467	1012	10.0818
4.5177	6.76	1014	10.0817
4.5444	6.7733	1016	10.0817
4.6044	6.7867	1018	10.0816
4.6105	6.8	1020	10.0815
4.5786	6.8133	1022	10.0814
4.4749	6.8267	1024	10.0813
4.5384	6.84	1026	10.0813
4.5034	6.8533	1028	10.0812
4.4696	6.8667	1030	10.0812
4.4341	6.88	1032	10.0812
4.5323	6.8933	1034	10.0813
4.4929	6.9067	1036	10.0812
4.4103	6.92	1038	10.0812
4.4176	6.9333	1040	10.0813
4.6159	6.9467	1042	10.0813
4.5646	6.96	1044	10.0813
4.5855	6.9733	1046	10.0813
4.4977	6.9867	1048	10.0812
4.5779	7.0	1050	10.0812
4.4322	7.0133	1052	10.0812
4.4626	7.0267	1054	10.0811
4.5158	7.04	1056	10.0811
4.4401	7.0533	1058	10.0810
4.5392	7.0667	1060	10.0810
4.3086	7.08	1062	10.0809
4.5261	7.0933	1064	10.0808
4.4982	7.1067	1066	10.0806
4.4799	7.12	1068	10.0806
4.4396	7.1333	1070	10.0806
4.537	7.1467	1072	10.0806
4.5716	7.16	1074	10.0807
4.5369	7.1733	1076	10.0807
4.4797	7.1867	1078	10.0807
4.4942	7.2	1080	10.0807
4.4966	7.2133	1082	10.0806
4.5611	7.2267	1084	10.0805
4.5248	7.24	1086	10.0805
4.4882	7.2533	1088	10.0803
4.5391	7.2667	1090	10.0803
4.5252	7.28	1092	10.0802
4.5423	7.2933	1094	10.0803
4.4333	7.3067	1096	10.0803
4.5494	7.32	1098	10.0804
4.4878	7.3333	1100	10.0804
4.5564	7.3467	1102	10.0804
4.5479	7.36	1104	10.0805
4.3784	7.3733	1106	10.0805
4.5166	7.3867	1108	10.0805
4.6188	7.4	1110	10.0805
4.4945	7.4133	1112	10.0804
4.5339	7.4267	1114	10.0804
4.4972	7.44	1116	10.0804
4.511	7.4533	1118	10.0804
4.48	7.4667	1120	10.0804
4.543	7.48	1122	10.0803
4.4549	7.4933	1124	10.0803
4.6075	7.5067	1126	10.0803
4.5291	7.52	1128	10.0803
4.5056	7.5333	1130	10.0803
4.5458	7.5467	1132	10.0803
4.5269	7.5600	1134	10.0804
4.5245	7.5733	1136	10.0804
4.5268	7.5867	1138	10.0805
4.4687	7.6	1140	10.0805
4.5181	7.6133	1142	10.0806
4.5211	7.6267	1144	10.0807
4.4878	7.64	1146	10.0808
4.5733	7.6533	1148	10.0808
4.5269	7.6667	1150	10.0809
4.4863	7.68	1152	10.0809
4.5988	7.6933	1154	10.0809
4.5421	7.7067	1156	10.0810
4.4844	7.72	1158	10.0810
4.507	7.7333	1160	10.0811
4.5211	7.7467	1162	10.0811
4.3269	7.76	1164	10.0812
4.5513	7.7733	1166	10.0812
4.5255	7.7867	1168	10.0812
4.5229	7.8	1170	10.0812
4.5031	7.8133	1172	10.0811
4.5165	7.8267	1174	10.0812
4.5122	7.84	1176	10.0812
4.501	7.8533	1178	10.0811
4.4985	7.8667	1180	10.0812
4.4658	7.88	1182	10.0812
4.5273	7.8933	1184	10.0812
4.5423	7.9067	1186	10.0812
4.5255	7.92	1188	10.0812
4.4473	7.9333	1190	10.0812
4.5417	7.9467	1192	10.0813
4.5772	7.96	1194	10.0813
4.5325	7.9733	1196	10.0813
4.5529	7.9867	1198	10.0813
4.5229	8.0	1200	10.0814
4.4882	8.0133	1202	10.0814
4.5008	8.0267	1204	10.0814
4.4513	8.04	1206	10.0814
4.5181	8.0533	1208	10.0814
4.501	8.0667	1210	10.0814
4.2932	8.08	1212	10.0814
4.5252	8.0933	1214	10.0814
4.48	8.1067	1216	10.0814
4.522	8.12	1218	10.0814
4.5676	8.1333	1220	10.0814
4.589	8.1467	1222	10.0814
4.475	8.16	1224	10.0814
4.5084	8.1733	1226	10.0814
4.4974	8.1867	1228	10.0815
4.4285	8.2	1230	10.0815
4.4656	8.2133	1232	10.0815
4.5709	8.2267	1234	10.0816
4.4712	8.24	1236	10.0817
4.5609	8.2533	1238	10.0817
4.5245	8.2667	1240	10.0818
4.4821	8.28	1242	10.0818
4.4912	8.2933	1244	10.0818
4.5026	8.3067	1246	10.0818
4.3747	8.32	1248	10.0818
4.5427	8.3333	1250	10.0817
4.4499	8.3467	1252	10.0817
4.4864	8.36	1254	10.0817
4.4935	8.3733	1256	10.0816
4.4979	8.3867	1258	10.0815
4.5575	8.4	1260	10.0814
4.4815	8.4133	1262	10.0814
4.5001	8.4267	1264	10.0813
4.4767	8.44	1266	10.0813
4.5063	8.4533	1268	10.0812
4.4797	8.4667	1270	10.0812
4.6695	8.48	1272	10.0811
4.5586	8.4933	1274	10.0811
4.4612	8.5067	1276	10.0811
4.5756	8.52	1278	10.0811
4.5437	8.5333	1280	10.0811
4.4484	8.5467	1282	10.0811
4.6015	8.56	1284	10.0812
4.4626	8.5733	1286	10.0812
4.4443	8.5867	1288	10.0811
4.5031	8.6	1290	10.0811
4.5138	8.6133	1292	10.0811
4.5702	8.6267	1294	10.0810
4.5529	8.64	1296	10.0810
4.4987	8.6533	1298	10.0810
4.4904	8.6667	1300	10.0810
4.4805	8.68	1302	10.0809
4.5267	8.6933	1304	10.0809
4.4707	8.7067	1306	10.0809
4.4532	8.72	1308	10.0809
4.5555	8.7333	1310	10.0810
4.419	8.7467	1312	10.0810
4.4268	8.76	1314	10.0810
4.5148	8.7733	1316	10.0810
4.4611	8.7867	1318	10.0810
4.4491	8.8	1320	10.0810
4.4779	8.8133	1322	10.0810
4.5728	8.8267	1324	10.0811
4.5084	8.84	1326	10.0811
4.4257	8.8533	1328	10.0811
4.4467	8.8667	1330	10.0811
4.6206	8.88	1332	10.0811
4.4724	8.8933	1334	10.0811
4.5613	8.9067	1336	10.0811
4.4891	8.92	1338	10.0811
4.5502	8.9333	1340	10.0811
4.4949	8.9467	1342	10.0811
4.4939	8.96	1344	10.0811
4.5501	8.9733	1346	10.0811
4.4193	8.9867	1348	10.0811
4.5714	9.0	1350	10.0811
4.5785	9.0133	1352	10.0811
4.4798	9.0267	1354	10.0811
4.4346	9.04	1356	10.0811
4.4867	9.0533	1358	10.0811
4.5249	9.0667	1360	10.0811
4.5694	9.08	1362	10.0811
4.4998	9.0933	1364	10.0811
4.451	9.1067	1366	10.0811
4.5109	9.12	1368	10.0811
4.5374	9.1333	1370	10.0811
4.4574	9.1467	1372	10.0811
4.5282	9.16	1374	10.0812
4.4572	9.1733	1376	10.0812
4.4568	9.1867	1378	10.0812
4.5027	9.2	1380	10.0812
4.5006	9.2133	1382	10.0812
4.5186	9.2267	1384	10.0812
4.5342	9.24	1386	10.0812
4.5245	9.2533	1388	10.0812
4.3806	9.2667	1390	10.0812
4.4991	9.28	1392	10.0812
4.4938	9.2933	1394	10.0811
4.5124	9.3067	1396	10.0811
4.5648	9.32	1398	10.0811
4.4494	9.3333	1400	10.0811
4.4762	9.3467	1402	10.0811
4.4916	9.36	1404	10.0811
4.5835	9.3733	1406	10.0811
4.5769	9.3867	1408	10.0811
4.5128	9.4	1410	10.0810
4.4905	9.4133	1412	10.0810
4.5325	9.4267	1414	10.0811
4.5229	9.44	1416	10.0811
4.5037	9.4533	1418	10.0811
4.4705	9.4667	1420	10.0811
4.4419	9.48	1422	10.0811
4.5376	9.4933	1424	10.0811
4.5424	9.5067	1426	10.0811
4.4665	9.52	1428	10.0811
4.4978	9.5333	1430	10.0811
4.4718	9.5467	1432	10.0811
4.4661	9.56	1434	10.0811
4.4298	9.5733	1436	10.0811
4.5356	9.5867	1438	10.0811
4.5357	9.6	1440	10.0811
4.5361	9.6133	1442	10.0811
4.4925	9.6267	1444	10.0811
4.5342	9.64	1446	10.0811
4.4856	9.6533	1448	10.0811
4.5232	9.6667	1450	10.0811
4.509	9.68	1452	10.0811
4.5488	9.6933	1454	10.0811
4.5325	9.7067	1456	10.0811
4.4715	9.72	1458	10.0812
4.4939	9.7333	1460	10.0811
4.5249	9.7467	1462	10.0811
4.4374	9.76	1464	10.0811
4.5617	9.7733	1466	10.0812
4.4823	9.7867	1468	10.0812
4.4692	9.8	1470	10.0812
4.4439	9.8133	1472	10.0812
4.4725	9.8267	1474	10.0812
4.4995	9.84	1476	10.0812
4.455	9.8533	1478	10.0812
4.4025	9.8667	1480	10.0812
4.4283	9.88	1482	10.0812
4.5785	9.8933	1484	10.0811
4.4846	9.9067	1486	10.0811
4.528	9.92	1488	10.0811
4.4948	9.9333	1490	10.0811
4.4395	9.9467	1492	10.0811
4.5151	9.96	1494	10.0811
4.5765	9.9733	1496	10.0811
4.5282	9.9867	1498	10.0811
4.5143	10.0	1500	10.0811

Framework versions

• PEFT 0.14.0
• Transformers 4.48.3
• Pytorch 2.6.0+cu124
• Datasets 3.3.1
• Tokenizers 0.21.0